Big Data is everywhere. From the birth of the concept in the mid-1990’s to today, there’s been staggering growth in related technologies and adoption rates across every global industry. The trend has been enormous, and yet, the concept of big data managed to fly mostly under the radar as far as the general public was concerned.
It’s the general public, though, that’s driving much of the demand for big data solutions. That’s due to the unprecedented amounts of data that people generate using their computers, smartphones, and IoT devices on a daily basis. Current estimates indicate that 180 Zettabytes of data will be created globally each year by 2025.
To put that number into perspective, consider that it would only require about 42 Zettabytes to store recordings of every word spoken aloud by humans since the dawn of time.
It’s clear from the statistics that big data will continue to grow exponentially in the years to come, but so far, the workforce that’s needed to fill the associated high-skill jobs hasn’t yet materialized. For businesses adopting big data technologies, the race is on to acquire the talent needed to thrive in the modern economy. Here are some of the ways they’re doing it.
Some of the most successful big data teams to date have been grown from within existing organizations. This is thanks to the fact that almost every existing organization has some IT staff with which to work.
In addition, many big data platforms, like Hadoop, aren’t that difficult to learn for technology staff that are already used to many of the key concepts. The overall demand for these skills has also created a whole new learning industry, which can help businesses to train up employees. Companies like Cloudera have a range of options that bring big data training to any organization that requires it.
